Process of recognizing tachistoscopically presented words.

Rumelhart, David E.; Siple, Patricia

doi:10.1037/h0036117

Cited by 243 publications

(183 citation statements)

References 27 publications

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“…This is known as bigram frequency. In general the evidence suggests that bigram frequency has little impact on word recognition responses although some effects have been reported when the stimuli have been of low frequency (Biederman, 1966;Broadbent & Rice, 1968;Rumelhart & Siple, 1974;Rice & Robinson, 1975). In addition, the way in which acronyms are created often leads to strings in which the letter patterns are unusual or even illegal (i.e.…”

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confidence: 99%

Spelling-to-sound correspondences affect acronym recognition processes

Playfoot

Izura

2015

Quarterly Journal of Experimental Psychology

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A large body of research has examined the factors that affect the speed with which words are recognized in lexical decision tasks. Nothing has yet been reported concerning the important factors in differentiating acronyms (e.g., BBC, HIV, NASA) from nonwords. It appears that this task poses little problem for skilled readers, in spite of the fact that acronyms have uncommon, even illegal, spellings in English. We used regression techniques to examine the role of a number of lexical and nonlexical variables known to be important in word processing in relation to lexical decision for acronym targets. Findings indicated that acronym recognition is affected by age of acquisition and imageability. In a departure from findings in word recognition, acronym recognition was not affected by frequency. Lexical decision responses for acronyms were also affected by the relationship between spelling and sound-a pattern not usually observed in word recognition. We argue that the complexity of acronym recognition means that the process draws phonological information in addition to semantics.

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confidence: 99%

Spelling-to-sound correspondences affect acronym recognition processes

Playfoot

Izura

2015

Quarterly Journal of Experimental Psychology

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“…In such an abstract feature model, the feature detection process is assumed to filter out the many details that characterize a particular font and to extract essential information that is true across fonts. In principle, such a model provides a solution to the recognition problem However, it is difficult to specify exactly what the features are, and it is not clear how such feature detectors might work Feature detectors that work on letters from a variety of fonts have rarely (if ever) been demonstratedIn the second type of simple feature model, the features are specific parts of specific fonts (e g , Rumelhart & Siple, 1974;Townsend & Ashby, 1982) It seems easier to imagine how fontspecific detectors might work; for example, they could match simple feature-templates However, a problem with this type of model is that the set of features for one font is not necessarily appropriate for another font (cf. Gilmore, 1985); therefore, it is not clear how letters are represented and perceived across fonts.…”

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Visual knowledge underlying letter perception: Font-specific, schematic tuning.

Sanocki¹

1987

Journal of Experimental Psychology: Human Perception and Perfor

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The representation of visual information about letters is proposed to be highly systematic, involving not only abstract information that is invariant across type faces (or fonts), but also a number of parameters whose values are determined by the current font The system exploits regularities that are characteristic of letters and fonts by becoming tuned to the details of the font This should result in efficient letter perception when the stimuli are regular (when all of the letters are of a consistent font), but not when the stimuli are irregular (when the letters are from a variety of fonts) The prediction of faster processing with a regular font, as compared with a mixed font, was examined in three experiments requiring the recognition of four-letter strings Experiment 1 confirmed the prediction, and Experiment 2 replicated the effect with the number of "features" equated across conditions. Experiment 3 showed that the disadvantage for a mixture of fonts is related to how much the representational system must be adjusted to handle the different fonts A central issue in cognitive and perceptual psychology is how familiar objects are represented and perceived. This article concerns the representation and perception of letters, which are representative of more complex objects in that they vary considerably in appearance from instance to instance: The actual form of a letter depends on the type face, or font. Therefore, it is necessary for models of letter perception to specify how the perceptual system maps letters of different fonts onto the appropriate abstract letter codes. The purpose of the present research was twofold, first, to begin developing a new kind of model of letter perception, one that uses the idea of a structural network, and, second, to test this model against a class of simpler models by examining how perceptual representations might become systematically tuned for a particular font.A useful general approach to the recognition problem is to assume that letters are represented and perceived as sets of fea-

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“…They all share the notion of attributes extracted from the stimulus configuration. These attributes operate, in conjunction or not with internal factors, as intermediaries between the stimulus and the final overt response (Neisser 1967;Morton 1969;Norman and Rumelhart 1970;Gibson 1971;Smith 1971Smith , 1973Rumelhart and Siple 1974).…”

Section: Recognitionmentioning

confidence: 99%

Global attributes in visual word recognition: Contour perception of three-letter strings

Schiepers¹

1978

Acta Psychologica

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Process of recognizing tachistoscopically presented words.

Cited by 243 publications

References 27 publications

Spelling-to-sound correspondences affect acronym recognition processes

Spelling-to-sound correspondences affect acronym recognition processes

Visual knowledge underlying letter perception: Font-specific, schematic tuning.

Global attributes in visual word recognition: Contour perception of three-letter strings

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